The article discusses synthetic data and its benefits and challenges. Synthetic data is artificially generated data that can be used to replace or augment real-world data in various applications, such as testing and training machine learning models or conducting simulations. The article mentions Geninvo and its Datalution platform for generating synthetic data for testing electronic data capture screens, edit checks, data management activities, programming, and statistical setup activities. The article also highlights the benefits of synthetic data, including privacy protection, cost-effectiveness, availability, control over data properties, and reproducibility. However, the article also notes the challenges of using synthetic data, including a lack of variability, bias, data quality issues, limited applicability, and ethical concerns.